Plasma proteomic profiling: search for lung cancer diagnostic and early detection markers.

Division of Cancer Prevention, National Cancer Institute, Bethesda, MD 20892, USA.
Oncology Reports (Impact Factor: 2.19). 05/2006; 15(5):1367-72. DOI: 10.3892/or.15.5.1367
Source: PubMed

ABSTRACT Environmental and occupational exposure to asbestos is among the established risk factors for lung cancer, the leading cause of cancer-related deaths in the United States. This link between exposure to asbestos and the excessive death rate from lung cancer was evident in a study of former workers of an asbestos pipe insulation manufacturing plant in Tyler, TX. We performed comparative proteomic profiling of plasma samples that were collected from nine patients within 12 months before death and their age-, race- and exposure-matched disease-free controls on strong anion exchange chips using surface-enhanced laser desorption ionization time-of-flight mass spectrometry. A distance-dependent K-nearest neighbor (KNN) classification algorithm identified spectral features of m/z values 7558.9 and 15103.0 that were able to distinguish lung cancer patients from disease-free individuals with high sensitivity and specificity. The high correlation between the intensities of these two peaks (r=0.987) strongly suggests that they are the doubly and singly charged ions of the same protein product. Examination of these proteomic markers in the plasma samples of subjects from >5 years before death from lung cancer suggested that they are related to the early development of lung cancer. Validation of these biomarkers would have significant implications for the early detection of lung cancer and better management of high-risk patients.


Available from: Brian Luke, Jun 03, 2015
  • [Show abstract] [Hide abstract]
    ABSTRACT: This compilation accounts the efforts made to characterize the proteomes of lung tissues in health and disease and to recognize proteomic patterns of diseased states in the patient's biological fluids/secretions and lavage fluids. A massive amount of primary data could not lead yet to the identification of diagnostic proteomic signatures. The variability of proteomic findings associated with lung diseases suggests that a useful diagnostic index may eventually result only from the composite predictive values of a large panel of protein markers.
    Proteomics 12/2008; 8(23-24):5053-73. DOI:10.1002/pmic.200800315 · 3.97 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Background Traditional Uighur medicine shares an origin with Greco-Arab medicine. It describes the health of a human body as the dynamic homeostasis of four normal Hilits (humours), known as Kan, Phlegm, Safra, and Savda. An abnormal change in one Hilit may cause imbalance among the Hilits, leading to the development of a syndrome. Abnormal Savda is a major syndrome of complex diseases that are associated with common biological changes during disease development. Here, we studied the protein expression profile common to tumour patients with Abnormal Savda to elucidate the biological basis of this syndrome and identify potential biomarkers associated with Abnormal Savda.Methods Patients with malignant tumours were classified by the diagnosis of Uighur medicine into two groups: Abnormal Savda type tumour (ASt) and non-Abnormal Savda type tumour (nASt), which includes other syndromes. The profile of proteins that were differentially expressed in ASt compared with nASt and normal controls (NC) was analysed by iTRAQ proteomics and evaluated by bioinformatics using MetaCoreTM software and an online database. The expression of candidate proteins was verified in all plasma samples by enzyme-linked immunosorbent assay (ELISA).ResultsWe identified 31 plasma proteins that were differentially expressed in ASt compared with nASt, of which only 10 showed quantitatively different expression between ASt and NC. Bioinformatics analysis indicated that most of these proteins are known biomarkers for neoplasms of the stomach, breast, and lung. ELISA detection showed significant upregulation of plasma SAA1 and SPP24 and downregulation of PIGR and FASN in ASt compared with nASt and NC (p < 0.05).Conclusions Abnormal Savda may be causally associated with changes in the whole regulation network of protein expression during carcinogenesis. The expression of potential biomarkers might be used to distinguish Abnormal Savda from other syndromes.
    BMC Complementary and Alternative Medicine 02/2015; 15(1):9. DOI:10.1186/s12906-015-0526-6 · 1.88 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Previously, we established an in vitro cellular carcinogenesis model of oral squamous cell carcinoma (OSCC), including the human immortalized oral epithelia cells (HIOECs) and its derived cancerous HB96 cells. In this study, comparative proteomic analysis identified that Annexin A1 was one of the significantly down-regulated genes in the cancerous HB96 cells. To investigate Annexin A1 down-regulation and its potential usefulness as a molecular marker in OSCC, we further screened Annexin A1 expressions with a panel of OSCC lines, and clinical samples of cancerous and the paired adjacent normal tissues from primary OSCC patients. By Western blot analysis and real-time PCR, we showed that both Annexin A1 mRNA and protein expressions decreased in OSCC cell lines except in two cell lines for the mRNA levels. Immunohistochemistry and real-time PCR also showed that both Annexin A1 mRNA and protein expressions decreased in the cancerous tissues from OSCC patients compared with those in the paired adjacent non-malignant epithelia. More importantly, both Annexin A1 mRNA and protein expressions negatively correlated with the pathologic differentiation grades of cancerous tissues. The lower Annexin A1 mRNA or protein expressions correlated with the poorer pathologic differentiation grades. These results suggest that decreased expression of Annexin A1 contributes to the cancerous progression of OSCC, and Annexin A1 may be a potential biomarker for pathologic differentiation grade of OSCC.
    Journal of Oral Pathology and Medicine 08/2008; 38(4):362-70. DOI:10.1111/j.1600-0714.2008.00678.x · 1.87 Impact Factor